Voice Conversion Using a Perceptual Criterion

Voice Conversion Using Articulatory Features

The aim of voice conversion is to transform an utterance spoken by an arbitrary (source) speaker to that of a specific (target) speaker. Text-to-speech (TTS), speech-to-speech translation, mimicry generation and human-machine interaction systems are among the numerous applications which can be greatly benefited by having a voice conversion module. Generally voice conversion systems require para...

Vocal conversion from speaking voice to singing voice using STRAIGHT

A vocal conversion system that can synthesize a singing voice given a speaking voice and a musical score is proposed. It is based on the speech manipulation system STRAIGHT [1], and comprises three models controlling three acoustic features unique to singing voices: the F0, duration, and spectral envelope. Given the musical score and its tempo, the F0 control model generates the F0 contour of t...

Voice Conversion

Voice conversion (VC) is an area of speech processing that deals with the conversion of the perceived speaker identity. In other words, the speech signal uttered by a first speaker, the source speaker, is modified to sound as if it was spoken by a second speaker, referred to as the target speaker. The most obvious use case for voice conversion is text-to-speech (TTS) synthesis where VC techniqu...

Voice conversion

Voice Conversion using Convolutional Neural Networks

The human auditory system is able to distinguish the vocal source of thousands of speakers, yet not much is known about what features the auditory system uses to do this. Fourier Transforms are capable of capturing the pitch and harmonic structure of the speaker but this alone proves insufficient at identifying speakers uniquely. The remaining structure, often referred to as timbre, is critical...